Best AI tools for< generate research briefs >

The AI Toolbox for Innovators is a free online resource that provides a variety of AI tools to help innovators test, pivot, or generate ideas. The toolbox includes tools for brainstorming, generating personas, writing future scenarios, creating interview scripts, and generating research briefs. The toolbox is designed to be easy to use and can be used by anyone, regardless of their level of AI expertise.

Keyword Insights is an AI-driven content marketing platform that offers a suite of tools to streamline keyword research, clustering, search intent analysis, content brief generation, and AI-powered writing assistance. The platform enables users to generate thousands of keyword ideas, group them into topical clusters, optimize existing content effortlessly, and excel in SEO without requiring expertise. Trusted by global agencies, SMBs, content marketers, and SEO experts, Keyword Insights helps users execute content marketing efforts with precision, efficiency, and effectiveness.

NeuralText is an all-in-one content marketing platform that helps you automate your content operations and save time and money. With NeuralText, you can do keyword research, create content briefs, optimize content for search engines, and generate AI-powered text. NeuralText is used by over 16,000 happy customers, including Forbes Advisor, Shopify, and Hootsuite.

Frase is an AI-powered SEO content optimization tool that empowers content creators to efficiently research, outline, write, and optimize SEO-optimized articles. With features like AI content generation, SERP research simplification, outline creation, and collaboration tools, Frase streamlines the content creation process for individuals and teams. It provides a unified platform for content creation, allowing users to develop well-researched, SEO-friendly content that ranks higher on search engines. Frase is trusted by over 30,000 content, SEO, and marketing teams for its innovative approach to content creation and optimization.

MarketMuse is an AI-powered content planning and optimization software that helps businesses create high-quality, search engine-optimized content. It provides personalized insights and recommendations based on your website's data, helping you to identify and prioritize the most important content to create and optimize. MarketMuse also offers a range of features to help you plan, create, and optimize your content, including a content planner, keyword research tool, content brief generator, and content optimization tool.

Telborg is an AI-powered platform that provides fast, credible research and writing assistance on climate and energy topics. It offers a range of features, including Q&A on documents, AI-generated first drafts, and content generation for presentations and reports. Telborg's custom knowledge base and integration with GPT-4-Turbo ensure accurate and meaningful responses. The platform is designed to help users save time and improve the quality of their climate-related research and writing.

Anthropic is an AI safety and research company based in San Francisco. Our interdisciplinary team has experience across ML, physics, policy, and product. Together, we generate research and create reliable, beneficial AI systems.

Anthropic is an AI safety and research company based in San Francisco. Our interdisciplinary team has experience across ML, physics, policy, and product. Together, we generate research and create reliable, beneficial AI systems.

Seamless is an AI-powered literature review tool that helps researchers draft literature reviews 100x faster. It searches the Semantic Scholar database of scientific papers and blends together the relevant papers with the user description to create a literature review. The last step is done using large language models like GPT-4.

Textero AI is an all-in-one AI essay writer that helps students and academic writers research, write, and edit essays and research papers faster and more efficiently. It offers a range of features including an intelligent outlining module, dynamic research engine, adaptive writing assistant, multi-format citation engine, ask AI function, extensive academic database access, contextualized content generation, anti-plagiarism shield, and free version.

LongShot AI is a generative AI tool designed for content teams. It offers a range of features to help users research, generate, and optimize content, including fact-checking, SEO optimization, and customizable templates. LongShot AI is powered by GPT-4 and custom AI models, and it integrates with a variety of platforms, including WordPress, Webflow, and HubSpot.

Research Studio is a next-level UX research tool that helps you streamline your user research with AI-enhanced analysis. Whether you're a freelance UX designer, user researcher, or agency, Research Studio can help you get the insights you need to make better decisions about your products and services.

Cartesia Sonic Team Blog Research Playground is an AI application that offers real-time multimodal intelligence for every device. The application aims to build the next generation of AI by providing ubiquitous, interactive intelligence that can run on any device. It features the fastest, ultra-realistic generative voice API and is backed by research on simple linear attention language models and state-space models. The founding team, who met at the Stanford AI Lab, has invented State Space Models (SSMs) and scaled it up to achieve state-of-the-art results in various modalities such as text, audio, video, images, and time-series data.

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Luma AI is a 3D capture platform that allows users to create interactive 3D scenes from videos. With Luma AI, users can capture 3D models of people, objects, and environments, and then use those models to create interactive experiences such as virtual tours, product demonstrations, and training simulations.

The AI PESTEL Analysis Generator is a tool that helps businesses understand and evaluate the external macro-environmental factors that can affect their operations. The acronym PESTEL stands for Political, Economic, Social, Technological, Environmental, and Legal factors. By conducting a PESTEL analysis, businesses can gain a better understanding of the external factors that can affect their operations, and use this information to develop strategies and plans to adapt and succeed in the marketplace.

Runway is a platform that provides tools and resources for artists and researchers to create and explore artificial intelligence-powered creative applications. The platform includes a library of pre-trained models, a set of tools for building and training custom models, and a community of users who share their work and collaborate on projects. Runway's mission is to make AI more accessible and understandable, and to empower artists and researchers to create new and innovative forms of creative expression.

InfraNodus is a text network visualization tool that helps users generate insights from any discourse by representing it as a network. It uses AI-powered algorithms to identify structural gaps in the text and suggest ways to bridge them. InfraNodus can be used for a variety of purposes, including research, creative writing, marketing, and SEO.

Imagen is an AI application that leverages text-to-image diffusion models to create photorealistic images based on input text. The application utilizes large transformer language models for text understanding and diffusion models for high-fidelity image generation. Imagen has achieved state-of-the-art results in terms of image fidelity and alignment with text. The application is part of Google Research's text-to-image work and focuses on encoding text for image synthesis effectively.

AI Placeholder is a free AI-Powered Fake or Dummy Data API for testing and prototyping. It leverages OpenAI's GPT-3.5-Turbo Model API to generate fake content. Users can directly use the hosted version or self-host it. The API allows users to generate various types of data with specified rules, such as forum users, CRM sales deals, products from a marketplace, tweets, and more. It provides flexibility in retrieving data and is suitable for testing and prototyping purposes.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

Evalverse is an open-source project designed to support Large Language Model (LLM) evaluation needs. It provides a standardized and user-friendly solution for processing and managing LLM evaluations, catering to AI research engineers and scientists. Evalverse supports various evaluation methods, insightful reports, and no-code evaluation processes. Users can access unified evaluation with submodules, request evaluations without code via Slack bot, and obtain comprehensive reports with scores, rankings, and visuals. The tool allows for easy comparison of scores across different models and swift addition of new evaluation tools.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

OpenAdapt is an open-source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). It aims to automate repetitive GUI workflows by leveraging the power of LMMs. OpenAdapt records user input and screenshots, converts them into tokenized format, and generates synthetic input via transformer model completions. It also analyzes recordings to generate task trees and replay synthetic input to complete tasks. OpenAdapt is model agnostic and generates prompts automatically by learning from human demonstration, ensuring that agents are grounded in existing processes and mitigating hallucinations. It works with all types of desktop GUIs, including virtualized and web, and is open source under the MIT license.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

InternLM is a powerful language model series with features such as 200K context window for long-context tasks, outstanding comprehensive performance in reasoning, math, code, chat experience, instruction following, and creative writing, code interpreter & data analysis capabilities, and stronger tool utilization capabilities. It offers models in sizes of 7B and 20B, suitable for research and complex scenarios. The models are recommended for various applications and exhibit better performance than previous generations. InternLM models may match or surpass other open-source models like ChatGPT. The tool has been evaluated on various datasets and has shown superior performance in multiple tasks. It requires Python >= 3.8, PyTorch >= 1.12.0, and Transformers >= 4.34 for usage. InternLM can be used for tasks like chat, agent applications, fine-tuning, deployment, and long-context inference.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

A curated list of Generative AI projects, tools, artworks, and models

MediaAI is a repository containing lectures and materials for Aalto University's AI for Media, Art & Design course. The course is a hands-on, project-based crash course focusing on deep learning and AI techniques for artists and designers. It covers common AI algorithms & tools, their applications in art, media, and design, and provides hands-on practice in designing, implementing, and using these tools. The course includes lectures, exercises, and a final project based on students' interests. Students can complete the course without programming by creatively utilizing existing tools like ChatGPT and DALL-E. The course emphasizes collaboration, peer-to-peer tutoring, and project-based learning. It covers topics such as text generation, image generation, optimization, and game AI.

RLAIF-V is a novel framework that aligns MLLMs in a fully open-source paradigm for super GPT-4V trustworthiness. It maximally exploits open-source feedback from high-quality feedback data and online feedback learning algorithm. Notable features include achieving super GPT-4V trustworthiness in both generative and discriminative tasks, using high-quality generalizable feedback data to reduce hallucination of different MLLMs, and exhibiting better learning efficiency and higher performance through iterative alignment.

**OpenAI Chat API Workflow for Alfred** An Alfred 5 Workflow for using OpenAI Chat API to interact with GPT-3.5/GPT-4 🤖💬 It also allows image generation 🖼️, image understanding 👀, speech-to-text conversion 🎤, and text-to-speech synthesis 🔈 **Features:** * Execute all features using Alfred UI, selected text, or a dedicated web UI * Web UI is constructed by the workflow and runs locally on your Mac 💻 * API call is made directly between the workflow and OpenAI, ensuring your chat messages are not shared online with anyone other than OpenAI 🔒 * OpenAI does not use the data from the API Platform for training 🚫 * Export chat data to a simple JSON format external file 📄 * Continue the chat by importing the exported data later 🔄

Qwen is a series of large language models developed by Alibaba DAMO Academy. It outperforms the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen models outperform the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen-72B achieves better performance than LLaMA2-70B on all tasks and outperforms GPT-3.5 on 7 out of 10 tasks.

The Bard API is a Python package that returns responses from Google Bard through the value of a cookie. It is an unofficial API that operates through reverse-engineering, utilizing cookie values to interact with Google Bard for users struggling with frequent authentication problems or unable to authenticate via Google Authentication. The Bard API is not a free service, but rather a tool provided to assist developers with testing certain functionalities due to the delayed development and release of Google Bard's API. It has been designed with a lightweight structure that can easily adapt to the emergence of an official API. Therefore, using it for any other purposes is strongly discouraged. If you have access to a reliable official PaLM-2 API or Google Generative AI API, replace the provided response with the corresponding official code. Check out https://github.com/dsdanielpark/Bard-API/issues/262.

Awesome MLSecOps is a curated list of open-source tools, resources, and tutorials for MLSecOps (Machine Learning Security Operations). It includes a wide range of security tools and libraries for protecting machine learning models against adversarial attacks, as well as resources for AI security, data anonymization, model security, and more. The repository aims to provide a comprehensive collection of tools and information to help users secure their machine learning systems and infrastructure.

Purple Llama is an umbrella project that aims to provide tools and evaluations to support responsible development and usage of generative AI models. It encompasses components for cybersecurity and input/output safeguards, with plans to expand in the future. The project emphasizes a collaborative approach, borrowing the concept of purple teaming from cybersecurity, to address potential risks and challenges posed by generative AI. Components within Purple Llama are licensed permissively to foster community collaboration and standardize the development of trust and safety tools for generative AI.

Ivy is an open-source machine learning framework that enables you to: * 🔄 **Convert code into any framework** : Use and build on top of any model, library, or device by converting any code from one framework to another using `ivy.transpile`. * ⚒️ **Write framework-agnostic code** : Write your code once in `ivy` and then choose the most appropriate ML framework as the backend to leverage all the benefits and tools. Join our growing community 🌍 to connect with people using Ivy. **Let's** unify.ai **together 🦾**

GPT-Subtrans is an open-source subtitle translator that utilizes large language models (LLMs) as translation services. It supports translation between any language pairs that the language model supports. Note that GPT-Subtrans requires an active internet connection, as subtitles are sent to the provider's servers for translation, and their privacy policy applies.

Creates detailed SEO content briefs from comprehensive user inputs.

This prompt is structured to provide an effective methodology in generating progressively more detailed and specific summaries, focused on key entities.

A bot that gives you marketing advices based on the latest market researches

A scholar in Hindu literature providing positive, brief insights against negativity.

Expert AI research question assistant.

Your AI research assistant, for turning a problem into a research, developing research questions, generating plans, analyzing data and improving research workflows for project success

Guides scientific investigations and theoretical research methodologies.

Provide your topics, and receive formal, academic assistance in crafting research titles.

Research Proposal Assistant Pro is designed to provide tailored assistance in research writing.

Expert assistant for writing academic research papers.

The AI mentor for medical education research

Generates social research proposals, data analysis and cultural insight reports for academic and applied sociologists.

A Medical Research Assistant Chatbot

GPT expert in Neuroscience, BCI, and ML/DL developed by NICE Research Group@XMUM

推荐课题主题、研究内容、研究方法、研究创新点、研究计划和预期成果等信息，生成符合省部级格式要求和逻辑结构的课题标书。

BRTR任务指令生成工具

Deep learning researcher explaining Google Gemini from PDFs.

辅助科研人员撰写、修改、评估和优化课题标书，提高课题申报的成功率和质量。

Create Scholarly Articles with Web, DALL-E, Data

AI Assisted Academic Writing with Expertise on Semiconductor Physics and Device